Produktbild: Mathematical Chemistry and Chemoinformatics

Mathematical Chemistry and Chemoinformatics Structure Generation, Elucidation and Quantitative Structure-Property Relationships

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.12.2013

Abbildungen

mit 124 Illustrationen, mit 70 tblättern

Verlag

De Gruyter

Seitenzahl

491

Maße (L/B/H)

24,6/17,5/4,2 cm

Gewicht

1013 g

Auflage

1

Sprache

Englisch

ISBN

978-3-11-030007-9

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.12.2013

Abbildungen

mit 124 Illustrationen, mit 70 tblättern

Verlag

De Gruyter

Seitenzahl

491

Maße (L/B/H)

24,6/17,5/4,2 cm

Gewicht

1013 g

Auflage

1

Sprache

Englisch

ISBN

978-3-11-030007-9

Herstelleradresse

Walter de Gruyter
Genthiner Straße 13
10785 Berlin
DE

Email: GPSR Kontakt

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  • Produktbild: Mathematical Chemistry and Chemoinformatics
  • Chapter 1: Molecules in silico
    1.1 Graphs, labeled and unlabeled 1.2 Molecular graphs, constitutional isomers 1.3 Summary
    Chapter 2: Substructures, reactions, descriptors
    2.1 Substructures 2.2 Molecular substructures 2.3 Chemical reactions 2.4 Mesomerism 2.5 Existing chemical compounds 2.6 Molecular descriptors 2.7 Summary
    Chapter 3: Chirality
    3.1 Orientation and chirality 3.2 Permutational isomers 3.3 Permutational isomers by content, in particular by racemic content 3.4 Enumeration by symmetry 3.5 Constructive aspects 3.6 Summary
    Chapter 4: Stereoisomers
    4.1 Stereoisomers 4.2 Radon partitions 4.3 Binary Grassmann-Plücker relations 4.4 An example, cyclohexane 4.5 Summary
    Chapter 5: Molecular structure generation
    5.1 Formula based molecular generation 5.2 Reaction based structure generation 5.3 Examples: Combinatorial libraries 5.4 Generic structural formulas 5.5 Example: Patents in chemistry 5.6 Canonizing molecules and graphs 5.7 Data structure for molecular graphs 5.8 Summary
    Chapter 6: Supervised statistical learning
    6.1 Variables and predicting functions 6.2 Models for predicting functions 6.3 Summary
    Chapter 7: Structure-property relationships
    7.1 Optimization of experiments in combinatorial chemistry 7.2 The use of molecular descriptors 7.3 Quantitative structure--property relationships 7.4 Example: Boiling points of alkanes 7.5 Example: Physical density of propyl acrylates 7.6 Example: Antibacterial activity of quinolones 7.7 Remarks on the real library 7.8 Summary
    Chapter 8: Molecular structure elucidation
    8.1 Spectroscopic methods 8.2 The principle of automated molecular structure elucidation 8.3 Basics of mass spectrometry 8.4 Ranking functions for mass spectra 8.5 Classification of mass spectra 8.6 Automated structure elucidation via MS 8.7 High resolution MS 8.8 Molecular formulas from high-resolution MS and MS/MS 8.9 Summary
    Chapter 9: Case studies of CASE
    9.1 Automated structure elucidation with MOLGEN-MS 9.2 Calculated properties to improve CASE 9.3 Examples of CASE at work
    Chapter 10: Appendix
    10.1 Lists of molecular descriptors 10.2 Substructures for MS classifiers 10.3 Molecular formulas, according to mass and ion type 10.4 Isomers, by formula and mass 10.5 Summary